Active clinical trials for "Breast Neoplasms"

This phase I trial studies how well fluciclovine positron emission tomography (PET)/computed tomography (CT) and PSMA PET/CT work in helping doctors understand and classify invasive lobular breast cancer in patients with invasive lobular breast cancer that is suspicious for or has spread to other places in the body (metastasized). Fluciclovine and PSMA are radiotracers used in PET/CT imaging scans that emit radiation. The PET/CT scan than picks up the radiation being released to create a picture from within the body. Information learned from this study may help researchers learn how to better identify metastatic disease in invasive lobular breast cancer patients which will impact appropriate staging.

This project is a case-control study which seeks to identify modifiable risk factors for breast and colorectal cancer in Nigeria. Both cases and controls will be required to complete a risk factor questionnaire which contains information about their diet, physical activity, past medical history and life style factors. They will also be required to provide information on their body composition through the use of a bioimpedance machine which measures the body mass index, fat and total body water percentage. Based on the existing ARGO platform where a current colorectal cancer study is going on, approximately 400 patients with a prior diagnosis or a new diagnosis will be recruited into this study. Comparatively, we will select our 400 controls from two groups of participants who are free of cancer and gastrointestinal diseases.

This clinical trial evaluates the added role of contrast-enhanced mammography (CEM), as well as imaging and blood biomarkers, for predicting the presence or absence of high-grade ductal carcinoma in situ (DCIS) or invasive cancer on pathology. Screening mammography is the mainstay of population-wide early breast cancer detection, and mammography-detected cancers are usually of an earlier stage, giving women the best chance of survival. However, the main drawbacks of this type of screening are false positive results and potential over-diagnosis of breast cancer. Suspicious microcalcifications detected with mammography pose a particular diagnostic problem, as they may be associated with invasive and high-grade in-situ cancers like DCIS, but are more often benign or require further workup to verify diagnosis. As such, microcalcifications detected by mammography pose a risk of both over-diagnosis and underestimation of disease severity. This study evaluates the impact of using CEM, compared to standard full field digital mammography (FFDM) for the management of suspicious microcalcifications and prediction of breast cancer in women with this finding.

Majority of breast cancer survivors are overweight or obese at time of diagnosis, putting them at increased risk for insulin resistance and Type 2 Diabetes Mellitus (T2DM). Women with insulin resistance at time of breast cancer diagnosis often have larger tumors, later stages of cancer and worse prognosis. Additionally, chemotherapy often leads to increases in insulin resistance and cognitive impairment. Many cancer survivors experience memory and brain function decline following chemotherapy that can last for years, and insulin resistance may contribute to worse cognitive outcomes in cancer survivors. Omega-3 polyunsaturated fatty acids (PUFAs) are anti-inflammatory nutrients that may help reduce insulin resistance and negative cognitive outcomes from cancer treatments. The purpose of this observational study with cross-sectional design is to investigate the relationship of omega-3 PUFAs with insulin resistance and cognitive function in obese breast cancer survivors. Due to the global pandemic caused by the coronavirus disease of 2019 (COVID-19), this study will be conducted entirely remotely using electronic data collection and remote finger-stick blood sample collection. The study will aim to enroll 80 racially and ethnically diverse female breast cancer survivors (age 45-75) who are postmenopausal, and 1 to 4 years post breast cancer diagnosis. Participants will complete study questionnaires online, and some cognitive tests will be completed through zoom sessions with trained study personnel. Participants will be mailed kits with thorough instructions to complete fingerstick blood sample collections and mail them back to the research lab. Upon receipt of blood samples and completion of all study questionnaires, participation will be complete.

The goal of this prospective, historically-controlled, quality improvement project is to determine whether and to what extent an electronic health record (EHR)-based nudge affects rates of sentinel lymph node biopsy (SLNB) in older women with ER+, early-stage, clinically node negative breast cancer.

The axillary management of breast cancer patients with operable isolated chest wall recurrence after mastectomy is unclear. We aim to determine if axillary restaging surgery can be safely omitted with no increased recurrences in this group of patients.

The study will assess whether changes in kinetic parameters of tumor and peritumoral vasculature using ultrafast dynamic contrast enhanced magnetic resonance imaging (DCE-MRI) during neoadjuvant chemotherapy (NAC) are predictive of pathologic complete response (pCR) in patients with breast cancer appropriate for NAC. pCR is defined as having no residual invasive breast cancer or ductal carcinoma in situ.

The aim of the study is to evaluate the role of lifestyle and environmental factors ( environmental contaminants such as Cd) on the penetrance of BRCA1/2 genes in BRCAm patients with Breast cancer and/or Ovarian cancer and in BRCAm healthy women without cancer diagnosis

ShareForCures (SFC) is a community-based participatory research registry, and its prime objective is to engage participants representative of the United States breast cancer patient population -including minoritized and historically marginalized people, persons, or communities-to ensure the data researchers use to study breast cancer is as diverse as the people touched by this disease. In doing so, researchers will have a better understanding of breast cancer, and everyone can potentially benefit from scientific advances and improvements in care.

We obtained the occurrence of pain sensation, pain mood, sleep, etc. during endocrine therapy in breast cancer patients through telephone follow-up, and analyzed risk factors through artificial intelligence